Development and Application of a Low-Cost 3-Dimensional (3D) Reconstruction System Based on the Structure from Motion (SfM) Approach for Plant Phenotyping-Reference-Cited by-同舟云学术

Development and Application of a Low-Cost 3-Dimensional (3D) Reconstruction System Based on the Structure from Motion (SfM) Approach for Plant Phenotyping

Published:2024-09-10 Issue: Volume: Page:
ISSN:1738-1266
Container-title:Journal of Biosystems Engineering
language:en
Short-container-title:J. Biosyst. Eng.

Author:

Arief Muhammad Akbar Andi,Nugroho Andri Prima^ORCID,Putro Ardyan Widyanto,Sutiarso Lilik,Cho Byoung-Kwan,Okayasu Takashi

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42853-024-00237-w.pdf

Reference35 articles.

1. Andújar, D., Calle, M., Fernández-Quintanilla, C., Ribeiro, Á., & Dorado, J. (2018). Three-dimensional modeling of weed plants using low-cost photogrammetry. Sensors (Switzerland), 18(4). https://doi.org/10.3390/s18041077

2. Arief, M. A. A., Kim, H., Kurniawan, H., Nugroho, A. P., Kim, T., & Cho, B. K. (2023). Chlorophyll Fluorescence Imaging for Early Detection of Drought and Heat Stress in Strawberry Plants. Plants, 12(6). https://doi.org/10.3390/plants12061387

3. Arief, M. A. A., Nugroho, A. P., Putro, A. W., Dananta, D. H., Masithoh, R. E., Sutiarso, L., & Okayasu, T. (2021). Three-dimensional (3D) reconstruction for non-destructive plant growth observation system using close-range photogrammetry. IOP Conference Series: Earth and Environmental Science, 733. https://doi.org/10.1088/1755-1315/733/1/012028

4. Aslan, M. F., Durdu, A., Sabanci, K., Ropelewska, E., & Gültekin, S. S. (2022). A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses. In Applied Sciences (Switzerland) (Vol. 12, Issue 3). MDPI. https://doi.org/10.3390/app12031047

5. Binti Hajihil, N. (2022). Air Parameter Analysis for Precision Agriculture in Controlled Engineering. Journal of Advanced Industrial Technology and Application, 3(2). https://doi.org/10.30880/jaita.2022.03.02.009